WO2023040697A1 - 信息处理方法、装置、设备、可读存储介质及产品 - Google Patents

信息处理方法、装置、设备、可读存储介质及产品 Download PDF

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Publication number
WO2023040697A1
WO2023040697A1 PCT/CN2022/117123 CN2022117123W WO2023040697A1 WO 2023040697 A1 WO2023040697 A1 WO 2023040697A1 CN 2022117123 W CN2022117123 W CN 2022117123W WO 2023040697 A1 WO2023040697 A1 WO 2023040697A1
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question
data
content
answer
target
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PCT/CN2022/117123
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English (en)
French (fr)
Inventor
张晓燕
曹浩天
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北京字跳网络技术有限公司
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Priority to JP2023579293A priority Critical patent/JP2024525209A/ja
Priority to EP22869068.1A priority patent/EP4343614A4/en
Publication of WO2023040697A1 publication Critical patent/WO2023040697A1/zh
Priority to US18/391,042 priority patent/US20240119073A1/en

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Definitions

  • Embodiments of the present disclosure relate to the technical field of computer and network communication, and in particular, to an information processing method, device, device, electronic device, computer-readable storage medium, computer program product, and computer program.
  • a question and answer area can be set on the display interface, and the user can check the questions in the question and answer area by himself, or the user can click on Ask questions in the Q&A area.
  • Embodiments of the present disclosure provide an information processing method, device, device, electronic device, computer-readable storage medium, computer program product, and computer program, which are used to solve the problem that the question-and-answer content in the existing question-and-answer information needs to be actively triggered by the user to fill in, and the content is relatively large. Few technical issues.
  • an embodiment of the present disclosure provides an information processing method, including:
  • comment data corresponding to at least one target media content, wherein the target media content is media content associated with a preset object, and the comment data includes text data and/or video data and/or audio data;
  • an information processing device including:
  • An acquisition module configured to acquire comment data corresponding to at least one target media content, wherein the target media content is media content associated with a preset object, and the comment data includes text data and/or video data and/or audio data;
  • An extraction module configured to perform an extraction operation on the comment data, so as to obtain at least one question and answer content related to the preset object in the comment data, wherein the question and answer content includes question content and at least one content of the response;
  • a display module configured to aggregate and display the at least one question and answer content on a page associated with the preset object.
  • an embodiment of the present disclosure provides an electronic device, including: a processor and a memory;
  • the memory stores computer-executable instructions
  • the processor executes the computer-executed instructions stored in the memory, so that the at least one processor executes the information processing method described in the above first aspect and various possible designs of the first aspect.
  • an embodiment of the present disclosure provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the processor executes the computer-executable instructions, the above first aspect and the first Aspects of various possible designs of the information processing method.
  • an embodiment of the present disclosure provides a computer program product, including a computer program.
  • the computer program When the computer program is executed by a processor, the information processing method described in the above first aspect and various possible designs of the first aspect is implemented.
  • an embodiment of the present disclosure provides a computer program, which implements the information processing method described in the above first aspect and various possible designs of the first aspect when the computer program is executed by a processor.
  • the method first obtains at least one comment data corresponding to a target media content that has an association relationship with a preset object, and performs an extraction operation on the comment data, To obtain at least one question and answer content related to the preset object in the comment data.
  • the obtained at least one question and answer content is aggregated and displayed on the page associated with the preset object, so that the operation of extracting the question and answer content can be realized from the comment data of the target media content.
  • FIG. 1 is a schematic flowchart of an information processing method provided in Embodiment 1 of the present disclosure
  • FIG. 2 is a schematic flowchart of an information processing method provided in Embodiment 2 of the present disclosure
  • FIG. 3 is a schematic flowchart of an information processing method provided in Embodiment 3 of the present disclosure.
  • FIG. 4 is a schematic diagram of a display interface provided by an embodiment of the present disclosure.
  • FIG. 5 is a schematic diagram of another display interface provided by an embodiment of the present disclosure.
  • FIG. 6 is a schematic structural diagram of an information processing device provided in Embodiment 4 of the present disclosure.
  • FIG. 7 is a schematic structural diagram of an electronic device provided by Embodiment 5 of the present disclosure.
  • the present disclosure provides an information processing method, device, equipment, readable storage medium and product.
  • the information processing method, device, device, readable storage medium, and product provided in the present disclosure can be used in scenarios of acquiring various question-and-answer contents.
  • a question and answer area can be set at the corresponding position of the media content, and the user can click on the question and answer area to ask questions and view the answers to existing questions.
  • the question-and-answer area obtained by the above method, the question-and-answer content is less, and the user may not be able to obtain the desired content after clicking into it, resulting in poor user experience.
  • the inventor found through research that media content associated with preset objects generally has a lot of comment data, and the comment data often contains question and answer content that helps users understand the preset objects. Therefore, in order to expand the question and answer content in the question and answer area, the question and answer content in the comment data can be obtained, and the question and answer content obtained from the comment data can be aggregated and displayed on the associated page of the preset object.
  • FIG. 1 is a schematic flowchart of an information processing method provided in Embodiment 1 of the present disclosure. As shown in FIG. 1 , the method includes:
  • Step 101 Obtain comment data corresponding to at least one target media content, wherein the target media content is media content associated with a preset object, and the comment data includes text data and/or video data and/or audio data .
  • the execution subject of this embodiment is an information processing device, and the information processing device can be coupled to a server, and the server can communicate with the database, so as to realize the acquisition of comment data.
  • the server can also communicate with the user's terminal equipment, so as to perform data processing according to the human-computer interaction between the user and the terminal equipment.
  • the media content associated with the preset object generally has a lot of comment data, and the comment data often contains question and answer content that helps the user understand the preset object. Therefore, in order to obtain the content of the question and answer, firstly, comment data corresponding to at least one target media content may be obtained.
  • the target media content is the media content associated with the preset object.
  • the preset object may be an object such as a restaurant, a scenic spot, or a museum.
  • the media content may be any kind of media content such as video, article, and audio.
  • the comment data corresponding to the target media content is the comments made by the user of the application program on the target media content, and the comment data can be displayed on the comment panel of the target media content.
  • the media content that has an association relationship with the preset object can be understood as including: the target media content includes the tag corresponding to the preset object, and/or, the text content corresponding to the target media content includes the preset Set the field associated with the object, and/or, the comment data corresponding to the target media content includes the field associated with the preset object, and/or, the image content corresponding to the target media content includes the preset Set the image corresponding to the object.
  • One preset object may correspond to multiple target media contents, and the association relationship types between the multiple target media contents and the preset objects may be different.
  • the target media content may be a short video content published on short video software
  • the preset object may be a restaurant that the user checks in.
  • the association relationship between the target media content and the preset object may be that the short video content includes the label of the restaurant, and the user can enter the page related to the restaurant by triggering the label.
  • the short video content may include text content introducing the short video.
  • the association relationship between the target media content and the preset object may be that the text content includes the name of the restaurant.
  • the comment data corresponding to the short video content includes at least one comment about the restaurant. At this time, it can be determined that the short video content is associated with the restaurant. Or, following the above example, at least one frame of image in the short video content includes the restaurant. At this time, it can be determined that the short video content has an association relationship with the restaurant.
  • one or more of the above methods may be used to determine the association relationship between the target media content and the preset object, which is not limited in the present disclosure.
  • comment data includes text data and/or video data and/or audio data.
  • comment data is text data
  • data analysis can be directly performed on the text data to realize the acquisition operation of the question and answer content.
  • the audio data can be converted into corresponding text data, and then the question and answer content in the text data can be further extracted.
  • the comment data is video data
  • image processing may be performed on each frame of image in the video data to extract the content of the question and answer.
  • the image frames in the video data may be sampled according to a preset sampling rate, and image processing may be performed on the collected samples to realize the extraction of question and answer content.
  • the extraction of question and answer content can be realized by combining the image data obtained by image processing and the audio content extracted from the video data.
  • Step 102 Perform an extraction operation on the comment data to obtain at least one question and answer content related to the preset object in the comment data, wherein the question and answer content includes question content and at least one question content for the question content Answer content.
  • the comment data since the comment data includes a large amount of data, part of the data is related to the preset object, and part of the data is not related to the preset object, therefore, after the comment data is obtained, the comment data needs to be extracted to An acquisition operation is performed on at least one question and answer content related to the preset object in the comment data.
  • the question and answer content includes question content and at least one answer content corresponding to the question content.
  • the content of the question may be: how many people are there in the restaurant
  • the answer content corresponding to the content of the question may be: there are many people, there are many people during peak hours, there are more people at 7 o'clock in the evening, etc.
  • Step 103 displaying the at least one question and answer content on a page associated with the preset object.
  • an aggregation operation can be performed on at least one question and answer content, and the aggregation operation After at least one question and answer content is aggregated and displayed on the interface associated with the preset object.
  • the associated interface may be a question-and-answer interface.
  • the user can view the preset object corresponding to the target media content.
  • a question and answer area may be set in the display interface of the preset object, and the user may view the associated interface by triggering the question and answer area, and at least one question and answer content is displayed in the associated interface.
  • the comment data is video data and/or audio data
  • the video data and/or audio data after extracting the video data and/or audio data to include question and answer content, can be converted into text, and the text
  • the question-and-answer content in the form is aggregated and displayed with the associated interface of the preset object.
  • the video data and/or audio data including the question-and-answer content may be directly displayed in the associated interface.
  • a conversion text icon can be set in the preset area around the question-and-answer content in the form of video data and/or audio data, and the user can follow and trigger the conversion text icon to convert the video data and/or audio data into text form to view the content of the Q&A.
  • step 101 includes:
  • the amount of media content is large. Therefore, in order to realize precise screening of the question-and-answer content, at least one target media content needs to be screened out from a large amount of media content. Filtering can be done based on the amount of interaction data for the targeted media content.
  • the number of interaction data includes but is not limited to the number of comments, likes, reposts, favorites, etc. corresponding to the target media content.
  • at least one target media content whose interaction data quantity exceeds a preset comment quantity threshold and/or whose playback quantity exceeds a preset playback quantity threshold may be acquired, and comment data corresponding to the at least one target media content may be acquired.
  • the information processing method provided by this embodiment obtains at least one comment data corresponding to the target media content that has an association relationship with the preset object, and performs an extraction operation on the comment data, so that at least one of the comment data related to the preset object Q&A content is obtained.
  • the obtained at least one question and answer content is aggregated and displayed on the page associated with the preset object, so that the operation of extracting the question and answer content can be realized from the comment data of the target media content.
  • Different from the technical solutions in related technologies that require users to actively ask and answer questions by acquiring the content of the questions and answers in the comment data, the efficiency of obtaining the content of the questions and answers can be effectively improved, allowing users to increase their understanding of the preset objects. Bring convenience to users and improve user experience.
  • step 102 includes:
  • the question-and-answer content extraction model is obtained after training a preset model to be trained by using a sample question-and-answer content data set, and the sample question-and-answer content data set includes comment data corresponding to a plurality of target media contents and comments corresponding to each comment data.
  • Annotation information where the annotation information is used to indicate whether the comment data includes question and answer content.
  • a question and answer content extraction model may be preset, and comment data may be input into the question and answer content extraction model to obtain at least one question and answer content related to a preset object in the comment data.
  • a preset sample question-and-answer content data set can be obtained, and the sample question-and-answer content data set includes comment data corresponding to a plurality of target media contents and annotation information corresponding to each comment data.
  • the annotation information is used to represent whether the comment data includes question and answer content.
  • the sample question and answer content data set is used to train the preset model to be trained until the model to be trained converges, and the question and answer content extraction model is obtained.
  • FIG. 2 is a schematic flow chart of the information processing method provided in Embodiment 2 of the present disclosure.
  • step 102 includes:
  • Step 201 Obtain question data related to the preset object in the comment data.
  • Step 202 Filter the question data in the comment data according to at least one preset target topic, and obtain at least one question data, where the target topic is a feature information topic corresponding to the preset object.
  • Step 203 Obtain the answer data corresponding to the question data, and determine whether the answer data is associated with the preset target topic; if the judgment result is associated with the preset target topic, then The above answer data is determined as the target answer data corresponding to the question data.
  • Step 204 determining the at least one question data and at least one target answer data corresponding to each question data as the at least one question and answer content.
  • the question and answer data after the question and answer data is obtained, further data processing operations may be performed on the question and answer data.
  • the question-and-answer data may be obtained by extracting comment data by using the above-mentioned question-and-answer content extraction model, or by any other method, which is not limited in the present disclosure.
  • the question data related to the preset object in the comment data may be obtained, and the question data in the comment data may be screened according to at least one preset target topic to obtain at least one question data.
  • the target topic is a feature information topic corresponding to a preset object.
  • the target topic may be: characteristic information such as taste, location, opening time, and number of people.
  • the answer data In order to obtain effective answer data, for the above question data, obtain the answer data corresponding to the question data, and judge whether the answer data is associated with the preset target topic, and if so, the answer data can be determined as the question data corresponding target response data for . At least one question data and at least one target answer data corresponding to each question data are determined as the at least one question and answer content.
  • step 203 whether the reply data is associated with the preset target topic includes:
  • the reply data in the process of screening the reply data, it may be determined whether the reply data includes a preset target subject. For example, the target topic is: delicious, if the reply data includes the topic "delicious", it can be determined that the reply data is the target reply data.
  • the reply data may be judged whether the reply data includes a target field corresponding to the target subject, and a judgment result may be obtained.
  • the target subject can be: where, and the target field can be: xx district, xx street, xx building, etc. If it is detected that the reply data includes the above-mentioned target field, it may be determined that the reply data is the target reply data.
  • the information processing method provided in this embodiment acquires the question and answer content in the comment data by using the question and answer content extraction model, so that the user can obtain better quality content from the question and answer content and improve user experience.
  • FIG. 3 is a schematic flowchart of an information processing method provided in Embodiment 3 of the present disclosure.
  • step 103 includes:
  • Step 301 Calculate the similarity information between each question and answer content respectively.
  • Step 302 according to the similarity information, aggregate the question and answer content whose similarity exceeds a preset similarity threshold to determine the target question and answer content.
  • Step 303 Display the target question and answer content on a page associated with the preset object.
  • an aggregation operation may be performed on at least one question and answer content, and at least one question and answer content after the aggregation operation is combined with the pre-set Set the associated interface of the object for aggregate display.
  • the similarity information between each question and answer content can be calculated respectively, and according to the similarity information, at least one question and answer content whose similarity exceeds a preset similarity threshold is determined, and at least one question and answer whose similarity exceeds a preset similarity threshold A question and answer content is aggregated to obtain the target question and answer content.
  • the target question and answer content is displayed on the associated page of the preset object.
  • one of the question and answer contents and corresponding answer data may be displayed on the associated interface.
  • an expand button may be displayed within a preset range around the currently displayed question and answer content, and multiple pieces of aggregated question and answer content may be displayed according to a user's trigger operation on the expand button.
  • the text content on the expand button may be: expand, and X people want to know, etc., where X includes the number of aggregated question and answer content.
  • the quantity of attention corresponding to the target question-and-answer content is updated.
  • different question and answer content has different attention numbers.
  • the number of question and answer content whose similarity with the target question and answer content exceeds a preset threshold can be determined. This number can represent comments The number of users in the data who want to know the content of the question and answer.
  • a follow button may also be displayed on the display interface, and the user may follow the content of the question and answer by triggering the follow button. After the user triggers the follow button, if there is new reply data in the subsequent question and answer content, a reminder of the question and answer content can be sent to the user through a private message.
  • the number of attentions corresponding to the target question-and-answer content may be updated according to the quantity of the question-and-answer content and the number of user trigger operations on the attention button associated with the target question-and-answer content.
  • the target question and answer content After updating the number of attention corresponding to the target question and answer content, the target question and answer content can be sorted according to the number of attention, and the target question and answer content with a higher number of attention, that is, the question and answer content that more users want to know, will be ranked first
  • the location allows users to quickly learn about relevant content.
  • step 103 it also includes:
  • the number of interactions of the question and answer content is updated according to the number of interactions of the question and answer content in the associated page of the preset object and the number of interactions of the comment data corresponding to the question and answer content in the target media content.
  • the user may also perform an interactive operation on the content of the question and answer, wherein the interactive operation may be like, forward, bookmark, etc.
  • the interactive operation may be like, forward, bookmark, etc.
  • FIG. 4 is a schematic diagram of a display interface provided by an embodiment of the present disclosure.
  • a preset interactive icon 42 is set in a page 41 associated with a preset object, and the user can interact with the interactive icon 42 through the interface. Do a trigger action to update the number of interactions.
  • FIG. 5 is a schematic diagram of another display interface provided by an embodiment of the present disclosure.
  • the user in response to a user’s trigger operation on any question and answer content 51, the user can jump to the details page 52 corresponding to the question and answer content.
  • the details page 52 includes question information 53 corresponding to the question-and-answer content and at least one answer information 54, and an interactive icon 55 corresponding to the answer information 54 is set in the preset area around each answer information 54, and the user can trigger the interactive icon 55. Answer the interactive operation of message 54.
  • the interaction number of the answer information may be updated according to the user's interaction operation on the answer information and the number of interactions in the comment data corresponding to the answer information.
  • the deletion operation is performed on the question and answer content corresponding to the comment data.
  • the user can delete comment data according to actual needs.
  • the question and answer content may be deleted according to the deletion operation.
  • the corresponding reply data in the question-and-answer content may be deleted. If it is detected that the user deletes the question data in the comment data, the entire question and answer content can be deleted according to the deletion operation.
  • the information processing method provided in this embodiment further improves user experience by aggregated display of question and answer content.
  • FIG. 6 is a schematic structural diagram of an information processing device provided in Embodiment 4 of the present disclosure.
  • the information processing device includes: an acquisition module 61 , an extraction module 62 and a display module 63 .
  • the acquisition module 61 is configured to acquire comment data corresponding to at least one target media content, wherein the target media content is media content associated with a preset object, and the comment data includes text data and/or video data and/or audio data; extraction module 62, configured to extract the comment data to obtain at least one question and answer content related to the preset object in the comment data, wherein the question and answer content includes question content and at least one answer content to the question content; a display module 63 configured to aggregate and display the at least one question answer content on a page associated with the preset object.
  • the acquisition module is used to:
  • the target media content includes tags corresponding to the preset objects
  • the text content corresponding to the target media content includes tags associated with the preset objects field
  • the comment data corresponding to the target media content includes a field associated with the preset object
  • the image content corresponding to the target media content includes an image corresponding to the preset object
  • the extraction module is used for:
  • the at least one question data and at least one target answer data corresponding to each question data are determined as the at least one question and answer content.
  • the extraction module is used for:
  • the extraction module is used for:
  • the question-and-answer content extraction model is obtained after training a preset model to be trained by using a sample question-and-answer content data set, and the sample question-and-answer content data set includes comment data corresponding to a plurality of target media contents and comments corresponding to each comment data.
  • Annotation information where the annotation information is used to indicate whether the comment data includes question and answer content.
  • the display module is used for:
  • the similarity information aggregate the question and answer content whose similarity exceeds the preset similarity threshold to determine the target question and answer content;
  • a determining module configured to determine the number of question-and-answer contents whose similarity with the target question-and-answer content exceeds a preset threshold
  • An updating module configured to update the number of attentions corresponding to the target question-and-answer content according to the quantity of the question-and-answer content and the number of user trigger operations on the attention button associated with the target question-and-answer content.
  • the device further includes:
  • the update module is also used to update the question-and-answer content according to the number of interactions of the question-and-answer content in the associated page of the preset object and the number of interactions of the comment data corresponding to the question-and-answer content in the target media content The number of interactions is updated.
  • a deletion module configured to delete the question and answer content corresponding to the comment data in response to the user's deletion operation on the comment data of the target media content.
  • Another embodiment of the present disclosure also provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the processor executes the computer-executable instructions, the implementation of any of the above-mentioned embodiments The information processing method described above.
  • Another embodiment of the present disclosure further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the information processing method as described in any one of the above embodiments is implemented.
  • the device provided in this embodiment can be used to implement the technical solution of the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not repeat them here.
  • the embodiments of the present disclosure further provide an electronic device.
  • Another embodiment of the present disclosure also provides an electronic device, including: a processor and a memory;
  • the memory stores computer-executable instructions
  • the processor executes the computer-executable instructions stored in the memory, so that the processor executes the information processing method described in any one of the above embodiments.
  • FIG. 7 is a schematic structural diagram of an electronic device provided by Embodiment 5 of the present disclosure.
  • the electronic device 700 may be a terminal device or server.
  • the terminal equipment may include but not limited to mobile phones, notebook computers, digital broadcast receivers, personal digital assistants (Personal Digital Assistant, PDA for short), tablet computers (Portable Android Device, PAD for short), portable multimedia players (Portable Media Player, referred to as PMP), mobile terminals such as vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc.
  • PDA Personal Digital Assistant
  • PMP portable multimedia players
  • mobile terminals such as vehicle-mounted terminals (such as vehicle-mounted navigation terminals)
  • fixed terminals such as digital TVs, desktop computers, etc.
  • the electronic device shown in FIG. 7 is only an example, and should not limit the functions and application scope of the embodiments of the present disclosure.
  • an electronic device 700 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 708 loads the program in the random access memory (Random Access Memory, referred to as RAM) 703 to execute various appropriate actions and processes.
  • RAM Random Access Memory
  • various programs and data necessary for the operation of the electronic device 700 are also stored.
  • the processing device 701, ROM 702, and RAM 703 are connected to each other through a bus 704.
  • An input/output (Input/Output, I/O for short) interface 705 is also connected to the bus 704 .
  • an input device 706 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; ), a speaker, a vibrator, etc.
  • a storage device 708 including, for example, a magnetic tape, a hard disk, etc.
  • the communication means 709 may allow the electronic device 700 to communicate with other devices wirelessly or by wire to exchange data. While FIG. 7 shows electronic device 700 having various means, it should be understood that implementing or having all of the means shown is not a requirement. More or fewer means may alternatively be implemented or provided.
  • embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, where the computer program includes program codes for executing the methods shown in the flowcharts.
  • the computer program may be downloaded and installed from a network via communication means 709, or from storage means 708, or from ROM 702.
  • the processing device 701 When the computer program is executed by the processing device 701, the above-mentioned functions defined in the methods of the embodiments of the present disclosure are performed.
  • the above-mentioned computer-readable medium in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two.
  • a computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof.
  • Computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programming read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM or flash memory), optical fiber, portable compact disk read-only memory (Compact Disk Read Only Memory, referred to as CD-ROM), optical storage device, magnetic storage device, or any of the above the right combination.
  • a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.
  • a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave carrying computer-readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • a computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device .
  • the program code contained on the computer readable medium can be transmitted by any appropriate medium, including but not limited to: electric wire, optical cable, radio frequency (Radio Frequency, RF for short), etc., or any suitable combination of the above.
  • the above-mentioned computer-readable medium may be included in the above-mentioned electronic device, or may exist independently without being incorporated into the electronic device.
  • the above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by the electronic device, the electronic device is made to execute the methods shown in the above-mentioned embodiments.
  • Computer program code for carrying out the operations of the present disclosure can be written in one or more programming languages, or combinations thereof, including object-oriented programming languages—such as Java, Smalltalk, C++, and conventional Procedural Programming Language - such as "C" or a similar programming language.
  • the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
  • the remote computer can be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or it can be connected to an external A computer (connected via the Internet, eg, using an Internet service provider).
  • LAN Local Area Network
  • WAN Wide Area Network
  • each block in a flowchart or block diagram may represent a module, program segment, or portion of code that contains one or more logical functions for implementing specified executable instructions.
  • the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved.
  • each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations can be implemented by a dedicated hardware-based system that performs the specified functions or operations , or may be implemented by a combination of dedicated hardware and computer instructions.
  • the units involved in the embodiments described in the present disclosure may be implemented by software or by hardware. Wherein, the name of the unit does not constitute a limitation of the unit itself under certain circumstances, for example, the first obtaining unit may also be described as "a unit for obtaining at least two Internet Protocol addresses".
  • exemplary types of hardware logic components include: Field Programmable Gate Array (Field Programmable Gate Array, FPGA for short), Application Specific Integrated Circuit (ASIC for short), Application Specific Standard Products ( Application Specific Standard Parts (ASSP for short), System on Chip (SOC for short), Complex Programmable Logic Device (CPLD for short), etc.
  • a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device.
  • a machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium.
  • a machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing.
  • machine-readable storage media would include one or more wire-based electrical connections, portable computer discs, hard drives, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, compact disk read only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the foregoing.
  • RAM random access memory
  • ROM read only memory
  • EPROM or flash memory erasable programmable read only memory
  • CD-ROM compact disk read only memory
  • magnetic storage or any suitable combination of the foregoing.
  • an information processing method including:
  • the comment data includes text data and/or video data and/or audio data;
  • the acquiring comment data corresponding to at least one target media content includes: acquiring at least one kind of interaction data whose quantity exceeds a preset comment quantity threshold and/or whose playback quantity exceeds a preset playback quantity At least one target media content with a quantity threshold value; acquiring comment data of the at least one target media content.
  • the target media content includes a tag corresponding to the preset object, and/or, the text content corresponding to the target media content includes a field associated with the preset object, And/or, the comment data corresponding to the target media content includes a field associated with the preset object, and/or, the image content corresponding to the target media content includes an image corresponding to the preset object.
  • the extracting the comment data to obtain at least one question and answer content related to the preset object in the comment data includes: obtaining the comment data in Question data related to the preset object; screening the question data in the comment data according to at least one preset target theme to obtain at least one question data, the target theme being a feature corresponding to the preset object information topic; obtain the reply data corresponding to the question data, and judge whether the reply data is associated with the preset target topic; if the judgment result is associated with the preset target topic, then the The above answer data is determined as the target answer data corresponding to the question data; the at least one question data and at least one target answer data corresponding to each question data are determined as the at least one question and answer content.
  • the judging whether the reply data is associated with the preset target topic includes: judging whether the reply data includes a preset target topic, and/or, Judging whether the reply data includes a target field corresponding to the target topic, and obtaining a judgment result.
  • the extracting the comment data to obtain at least one question and answer content related to the preset object in the comment data includes: inputting the comment data Into the preset question and answer content extraction model, at least one question and answer content related to the preset object in the comment data is obtained; wherein, the question and answer content extraction model uses a sample question and answer content data set to be trained Obtained after model training, the sample question-and-answer content data set includes comment data corresponding to multiple target media contents and annotation information corresponding to each comment data, and the annotation information is used to represent whether the comment data includes question-and-answer content.
  • the aggregating and displaying the at least one question and answer content on the page associated with the preset object includes: separately calculating the similarity information between each question and answer content; The above similarity information is used to aggregate the question and answer content whose similarity exceeds the preset similarity threshold to determine the target question and answer content; and display the target question and answer content on the page associated with the preset object.
  • it further includes: determining the number of question and answer content whose similarity with the target question and answer content exceeds a preset threshold;
  • the number of trigger operations of the associated attention button updates the number of attentions corresponding to the target question-and-answer content.
  • after the aggregated display of the at least one question and answer content on the page associated with the preset object further includes: according to the question and answer content in the preset object Associating the interaction quantity in the page with the interaction quantity of the comment data corresponding to the question-and-answer content in the target media content, updating the interaction quantity of the question-and-answer content.
  • the method further includes: in response to the user's deletion operation on the target media content comment data, performing a deletion operation on the question and answer content corresponding to the comment data.
  • an information processing device including:
  • An acquisition module configured to acquire comment data corresponding to at least one target media content, wherein the target media content is media content associated with a preset object, and the comment data includes text data and/or video data and/or audio data;
  • An extraction module configured to perform an extraction operation on the comment data, so as to obtain at least one question and answer content related to the preset object in the comment data, wherein the question and answer content includes question content and at least one content of the response;
  • a display module configured to aggregate and display the at least one question and answer content on a page associated with the preset object.
  • the acquiring module is configured to: acquire at least one target media content whose quantity of interaction data exceeds a preset threshold of comment quantity and/or whose play quantity exceeds a preset threshold of play quantity ; Obtain comment data of the at least one target media content.
  • the target media content includes a tag corresponding to the preset object, and/or, the text content corresponding to the target media content includes a field associated with the preset object, And/or, the comment data corresponding to the target media content includes a field associated with the preset object, and/or, the image content corresponding to the target media content includes an image corresponding to the preset object.
  • the extraction module is configured to: obtain question data related to the preset object in the comment data; Screening the question data to obtain at least one question data, the target subject is the feature information subject corresponding to the preset object; obtaining the answer data corresponding to the question data, and judging whether the answer data is consistent with the preset target The subject is associated; if the judgment result is associated with the preset target subject, the answer data is determined as the target answer data corresponding to the question data; the at least one question data and each question At least one target answer data corresponding to the data is determined as the at least one question and answer content.
  • the extraction module is configured to: determine whether the reply data includes a preset target subject, and/or determine whether the reply data includes a subject corresponding to the target subject The target field of , and obtain the judgment result.
  • the extraction module is configured to: input the comment data into a preset question and answer content extraction model, and obtain at least one of the comment data related to the preset object Question and answer content; wherein, the question and answer content extraction model is obtained after training a preset model to be trained by using a sample question and answer content data set, and the sample question and answer content data set includes comment data corresponding to a plurality of target media content and each comment Annotation information corresponding to the data, where the annotation information is used to indicate whether the comment data includes question and answer content.
  • the display module is used to: respectively calculate the similarity information between each question and answer content; Perform an aggregation operation to determine the target question and answer content; display the target question and answer content on the page associated with the preset object.
  • a determination module configured to determine the number of question-and-answer content whose similarity with the target question-and-answer content exceeds a preset threshold
  • an update module configured to and the number of user trigger operations on the attention button associated with the target question-and-answer content, and update the number of attention corresponding to the target question-and-answer content.
  • the device further includes: an update module, configured to: The number of interactions corresponding to the comment data in the content is used to update the number of interactions of the question and answer content.
  • a deletion module which is used to delete the question and answer content corresponding to the comment data in response to the user's deletion operation on the comment data of the target media content.
  • an electronic device including: at least one processor and a memory;
  • the memory stores computer-executable instructions
  • the at least one processor executes the computer-executed instructions stored in the memory, so that the at least one processor executes the information processing method described in the above first aspect and various possible designs of the first aspect.
  • a computer-readable storage medium stores computer-executable instructions, and when a processor executes the computer-executable instructions, Realize the information processing method described in the above first aspect and various possible designs of the first aspect.
  • a computer program product including a computer program, when the computer program is executed by a processor, various possible designs of the above first aspect and the first aspect can be realized The information processing method described above.
  • a computer program is provided, and when the computer program is executed by a processor, the information processing described in the above first aspect and various possible designs of the first aspect is realized. method.

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Abstract

本公开实施例提供一种信息处理方法、装置、设备、电子设备、计算机可读存储介质、计算机程序产品及计算机程序，该方法包括：获取至少一个目标媒体内容对应的评论数据，其中，所述目标媒体内容为与预设对象存在关联关系的媒体内容；对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，其中，所述问答内容包括提问内容和至少一个针对所述提问内容的答复内容；将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示。

Description

信息处理方法、装置、设备、可读存储介质及产品
相关申请的交叉引用
本公开要求于2021年09月15日提交中国专利局、申请号为202111082885.0、申请名称为“信息处理方法、装置、设备、可读存储介质及产品”的中国专利申请的优先权，其全部内容通过引用结合在本公开中。
技术领域
本公开实施例涉及计算机与网络通信技术领域，尤其涉及一种信息处理方法、装置、设备、电子设备、计算机可读存储介质、计算机程序产品及计算机程序。
背景技术
随着终端设备硬件性能的提高，以及人工智能技术的不断进步，在终端设备上运行的应用程序(Application，简称APP)也越来越多。用户在使用这些APP的过程中，为了使得用户对当前展示的内容更好的理解，可以在显示界面上设置问答区域，用户可以自行对问答区域内的问题进行查看，或者用户可以根据实际需求在问答区域内发起提问。
发明内容
本公开实施例提供一种信息处理方法、装置、设备、电子设备、计算机可读存储介质、计算机程序产品及计算机程序，用于解决现有的问答信息内问答内容需要用户主动触发填写，内容较少的技术问题。
第一方面，本公开实施例提供一种信息处理方法，包括：
获取至少一个目标媒体内容对应的评论数据，其中，所述目标媒体内容为与预设对象存在关联关系的媒体内容，所述评论数据包括文本数据和/或视频数据和/或音频数据；
对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，其中，所述问答内容包括提问内容和至少一个针对所述提问内容的答复内容；
将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示。
第二方面，本公开实施例提供一种信息处理装置，包括：
获取模块，用于获取至少一个目标媒体内容对应的评论数据，其中，所述目标媒体内容为与预设对象存在关联关系的媒体内容，所述评论数据包括文本数据和/或视频数据和/或音频数据；
提取模块，用于对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，其中，所述问答内容包括提问内容和至少一个针对所述提问内容的答复内容；
显示模块，用于将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示。
第三方面，本公开实施例提供一种电子设备，包括：处理器和存储器；
所述存储器存储计算机执行指令；
所述处理器执行所述存储器存储的计算机执行指令，使得所述至少一个处理器执行如上第一方面以及第一方面各种可能的设计所述的信息处理方法。
第四方面，本公开实施例提供一种计算机可读存储介质，所述计算机可读存储介质中存储有计算机执行指令，当处理器执行所述计算机执行指令时，实现如上第一方面以及第一方面各种可能的设计所述的信息处理方法。
第五方面，本公开实施例提供一种计算机程序产品，包括计算机程序，所述计算机程序被处理器执行时实现如上第一方面以及第一方面各种可能的设计所述的信息处理方法。
第六方面，本公开实施例提供一种计算机程序，所述计算机程序被处理器执行时实现如上第一方面以及第一方面各种可能的设计所述的信息处理方法。
本实施例提供的信息处理方法、装置、设备、可读存储介质及产品，该方法首先获取至少一个与预设对象存在关联关系的目标媒体内容对应的评论数据，对该评论数据进行提取操作，以对评论数据中与预设对象相关的至少一个问答内容进行获取。将获取到的至少一个问答内容在与预设对象的关联页面进行聚合显示，从而能够从目标媒体内容的评论数据中实现对问答内容的提取操作。
附图说明
为了更清楚地说明本公开实施例或相关技术中的技术方案，下面将对实施例或相关技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图是本公开的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本公开实施例一提供的信息处理方法的流程示意图；
图2为本公开实施例二提供的信息处理方法的流程示意图；
图3为本公开实施例三提供的信息处理方法的流程示意图；
图4为本公开实施例提供的显示界面示意图；
图5为本公开实施例提供的又一显示界面示意图；
图6为本公开实施例四提供的信息处理装置的结构示意图；
图7为本公开实施例五提供的电子设备的结构示意图。
具体实施方式
为使本公开实施例的目的、技术方案和优点更加清楚，下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本公开的一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。
目前，相关技术方案对问答信息进行展示时，问答信息的生成需要用户主动地去触发，往往可展示的问题以及回答内容较少，无法满足用户的实际需求。
针对上述提及的现有的问答信息内问答内容需要用户主动触发填写，内容较少的技 术问题，本公开提供了一种信息处理方法、装置、设备、可读存储介质及产品。
需要说明的是，本公开提供的信息处理方法、装置、设备、可读存储介质及产品可运用在对各种问答内容进行获取的场景中。
为了使得用户对媒体内容关联的预设对象进行更好的了解，一般媒体内容的相应位置可以设置有问答区域，用户可以通过点击该问答区域进行提问以及对已有问题的回答进行查看操作。但是，采用上述方法得到的问答区域内，问答内容较少，用户可能点击进去之后，无法得到想要获知的内容，造成用户体验较差。
在解决上述技术问题的过程中，发明人通过研究发现，与预设对象存在关联的媒体内容一般存在有很多评论数据，评论数据中往往存在有助于用户了解预设对象相关的问答内容。因此，为了实现对问答区域内问答内容的扩充，可以获取评论数据中的问答内容，将从评论数据中获取到的问答内容在预设对象的关联页面进行聚合显示。
图1为本公开实施例一提供的信息处理方法的流程示意图，如图1所示，该方法包括：
步骤101、获取至少一个目标媒体内容对应的评论数据，其中，所述目标媒体内容为与预设对象存在关联关系的媒体内容，所述评论数据包括文本数据和/或视频数据和/或音频数据。
本实施例的执行主体为信息处理装置，该信息处理装置可耦合于服务器中，该服务器能够与数据库通信连接，从而能够实现对评论数据的获取。该服务器还可以与用户的终端设备通信连接，从而能够根据用户与终端设备的人机交互进行数据处理。
在本实施方式中，与预设对象存在关联的媒体内容一般存在有很多评论数据，评论数据中往往存在有助于用户了解预设对象相关的问答内容。因此，为了实现对问答内容的获取，首先，可以获取至少一个目标媒体内容对应的评论数据。其中，该目标媒体内容为与预设对象存在关联关系的媒体内容。具体地，该预设对象可以为餐厅、景点、博物馆等对象。该媒体内容可以为视频、文章、音频等任意一种媒体内容。目标媒体内容对应的评论数据即为应用程序的用户针对该目标媒体内容进行的评论，所述评论数据可以显示于目标媒体内容的评论面板。
具体地，与预设对象存在关联关系的媒体内容可以理解为包括：所述目标媒体内容中包括所述预设对象对应的标签，和/或，所述目标媒体内容对应的文本内容中包括预设对象相关联的字段，和/或，所述目标媒体内容对应的评论数据中包括所述预设对象相关联的字段，和/或，所述目标媒体内容对应的图像内容中包括所述预设对象对应的图像。一个预设对象可以对应多个目标媒体内容，且多个目标媒体内容与预设对象之间的关联关系类型可以不同。
以实际应用举例来说，该目标媒体内容可以为发布在短视频软件上的短视频内容，该预设对象可以为用户打卡的餐厅。该目标媒体内容与预设对象之间的关联关系可以为短视频内容中包括该餐厅的标签，用户可以通过触发该标签进入该餐厅相关的页面。或者，承接上例来说，该短视频内容中可以包括对短视频进行介绍的文本内容。该目标媒体内容与预设对象之间的关联关系可以为该文本内容中包括该餐厅的名称。或者，承接上例来说，该短视频内容对应的评论数据中包括至少一个关于该餐厅的评论，此时，可以判定该短视频内容与餐厅存在关联关系。或者，承接上例来说，该短视频内容中至少 一帧图像中包括该餐厅，此时，可以判定该短视频内容与餐厅存在关联关系。
实际应用中，可以采用上述一种或多种方式实现对目标媒体内容与预设对象之间关联关系的确定，本公开对此不做限制。
可选地，评论数据包括文本数据和/或视频数据和/或音频数据。当评论数据为文本数据时，可以直接对文本数据进行数据分析，以实现问答内容的获取操作。
当评论数据为音频数据时，可以对音频数据转换为对应的文本数据，再进一步地对文本数据中的问答内容进行提取。
当评论数据为视频数据时，为了实现对问答内容的获取，则需要对视频数据进行内容理解。可选地，可以针对视频数据中的每一帧图像进行图像处理，以提取出问答内容。或者，可以按照预设的采样率对视频数据中的图像帧进行采样，对采集的样本进行图像处理，实现问答内容的提取。同时，可以结合图像处理获取的图像数据及由视频数据提取的音频内容实现问答内容的提取。
步骤102、对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，其中，所述问答内容包括提问内容和至少一个针对所述提问内容的答复内容。
在本实施方式中，由于评论数据中包括大量数据，部分数据与预设对象有关，部分数据与预设对象无关，因此，在获取到评论数据之后，还需要对该评论数据进行提取操作，以对评论数据中与预设对象相关的至少一个问答内容进行获取操作。
其中，问答内容包括提问内容，以及该提问内容对应的至少一个答复内容。承接上例来说，该提问内容可以为：餐厅人多么，相应地与该提问内容对应的答复内容可以为：人很多、高峰期间人多、晚上7点人比较多等。
步骤103、将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示。
在本实施方式中，在获取到至少一个问答内容之后，由于部分问答内容可能包括相同或相似的提问，因此，为了实现对问答内容的优化，可以对至少一个问答内容进行聚合操作，将聚合操作后的至少一个问答内容在与预设对象的关联界面进行聚合显示。
可选地，该关联界面可以为问答界面。用户在浏览目标媒体内容时，可以对与该目标媒体内容对应的预设对象进行查看。该预设对象的显示界面内可以设置有问答区域，用户可以通过触发该问答区域实现对关联界面的查看，在该关联界面内，显示有至少一个问答内容。
可选地，当评论数据为视频数据和/或音频数据时，在提取出视频数据和/或音频数据中包括问答内容之后，可以将视频数据和/或音频数据转换为文字的形式，将文字形式的问答内容与预设对象的关联界面进行聚合显示。或者，在提取出视频数据和/或音频数据中包括问答内容之后，可以直接在该关联界面内显示包括问答内容的视频数据和/或音频数据。进一步地，可以在该视频数据和/或音频数据形式的问答内容周围预设区域内设置转换文字图标，用户可以跟过触发该转换文字图标，将该视频数据和/或音频数据转换为文字形式的问答内容进行查看。
进一步地，在实施例一的基础上，步骤101包括：
获取至少一种互动数据数量超过预设的评论数量阈值和/或播放数量超过预设的播放数量阈值的至少一个目标媒体内容；
获取所述至少一个目标媒体内容的评论数据。
在本实施例中，针对现有的大量应用软件来说，媒体内容的数量较多。因此，为了实现对问答内容的精准筛选，首先需要在大量的媒体内容中筛选出至少一个目标媒体内容。可以根据目标媒体内容的互动数据数量进行筛选。其中，该互动数据数量包括但不限于该目标媒体内容对应的评论数量、点赞数量、转发数量、收藏数量等。具体地，可以获取至少一种互动数据数量超过预设的评论数量阈值和/或播放数量超过预设的播放数量阈值的至少一个目标媒体内容，获取上述至少一个目标媒体内容对应的评论数据。
本实施例提供的信息处理方法，通过获取至少一个与预设对象存在关联关系的目标媒体内容对应的评论数据，对该评论数据进行提取操作，以对评论数据中与预设对象相关的至少一个问答内容进行获取。将获取到的至少一个问答内容在与预设对象的关联页面进行聚合显示，从而能够从目标媒体内容的评论数据中实现对问答内容的提取操作。区别于相关技术中需要由用户主动进行提问以及回答问题的技术方案，通过对评论数据中的问答内容进行获取，从而能够有效地提高问答内容的获取效率，使得用户增加对预设对象的了解，给用户的使用带来便利，提高用户体验。
可选地，在上述任一实施例的基础上，步骤102包括：
将所述评论数据输入至预设的问答内容提取模型中，获得所述评论数据中与所述预设对象相关的至少一个问答内容；
其中，所述问答内容提取模型为采用样本问答内容数据集对预设的待训练模型训练后获得的，所述样本问答内容数据集中包括多个目标媒体内容对应的评论数据以及各评论数据对应的标注信息，所述标注信息用于表征所述评论数据是否包括问答内容。
在本实施例中，可以预先设置一问答内容提取模型，可以将评论数据输入至该问答内容提取模型中，得到评论数据中与预设对象相关的至少一个问答内容。具体地，为了获取该问答内容提取模型，首先可以获取预设的样本问答内容数据集，该样本问答内容数据集中包括多个目标媒体内容对应的评论数据以及各评论数据对应的标注信息，所述标注信息用于表征所述评论数据是否包括问答内容。采用该样本问答内容数据集对预设的待训练模型进行训练，直至该待训练模型收敛，获得该问答内容提取模型。
图2为本公开实施例二提供的信息处理方法的流程示意图，在实施例一的基础上，步骤102包括：
步骤201、获取所述评论数据中与所述预设对象相关的问题数据。
步骤202、根据预设的至少一个目标主题对所述评论数据中的问题数据进行筛选，获得至少一个问题数据，所述目标主题为所述预设对象对应的特征信息主题。
步骤203、获取所述问题数据对应的答复数据，判断所述答复数据是否与所述预设的目标主题相关联；若所述判断结果为与所述预设的目标主题相关联，则将所述答复数据确定为所述问题数据对应的目标答复数据。
步骤204、将所述至少一个问题数据以及与各问题数据对应的至少一个目标答复数据确定为所述至少一个问答内容。
在本实施例中，获得问答数据之后，还可以进一步地对问答数据进行数据处理操作。其中，该问答数据可以为采用上述问答内容提取模型对评论数据提取后获得的，还可以为采用其他任意一种方式获得的，本公开对此不做限制。
具体地，首先可以获取评论数据中与预设对象相关的问题数据，根据预设的至少一个目标主题，对评论数据中的问题数据进行筛选，获得至少一个问题数据。其中，目标主题为预设对象对应的特征信息主题。举例来说，该目标主题可以为：口味、位置、开放时间、人数等特征信息。
为了实现对有效的答复数据的获取，针对上述问题数据，获取与问题数据对应的答复数据，判断该答复数据是否与预设的目标主题相关联，若是，则可以将答复数据确定为问题数据对应的目标答复数据。将至少一个问题数据以及与各问题数据对应的至少一个目标答复数据确定为所述至少一个问答内容。
进一步地，在上述任一实施例的基础上，步骤203中所述判断所述答复数据是否与所述预设的目标主题相关联，包括：
判断所述答复数据中是否包括预设的目标主题，和/或，判断所述答复数据中是否包括与所述目标主题对应的目标字段，获得判断结果。
在本实施例中，在对答复数据进行筛选的过程中，可以判断答复数据中是否包括预设的目标主体。举例来说，目标主题为：好吃，若答复数据中包括“好吃”主题，则可以判定该答复数据为目标答复数据。
可选地，可以判断答复数据中是否包括与目标主体对应的目标字段，获得判断结果。举例来说，目标主体可以为：在哪里，目标字段可以为：xx区，xx街道，xx大厦等。若检测到答复数据中包括上述目标字段，则可以判定该答复数据为目标答复数据。
本实施例提供的信息处理方法，通过采用问答内容提取模型对评论数据中的问答内容进行获取，从而使得用户能够从问答内容中得到更优质的内容，提高用户体验。
图3为本公开实施例三提供的信息处理方法的流程示意图，在上述任一实施例的基础上，步骤103包括：
步骤301、分别计算各问答内容之间的相似度信息。
步骤302、根据所述相似度信息，将相似度超过预设的相似度阈值的问答内容进行聚合操作，确定目标问答内容。
步骤303、将所述目标问答内容在与所述预设对象的关联页面进行显示。
在本实施例中，由于部分问答内容可能包括相同或相似的提问，因此，为了实现对问答内容的优化，可以对至少一个问答内容进行聚合操作，将聚合操作后的至少一个问答内容在与预设对象的关联界面进行聚合显示。
具体地，可以分别计算各问答内容之间的相似度信息，根据该相似度信息，确定相似度超过预设的相似度阈值的至少一个问答内容，将相似度超过预设的相似度阈值的至少一个问答内容进行聚合操作，获得目标问答内容。在预设对象的关联页面显示该目标问答内容。
可选地，在对将相似度超过预设的相似度阈值的至少一个问答内容进行聚合操作之后，可以在关联界面上显示其中一个问答内容以及对应的答复数据。此外，还可以在当前显示的问答内容周围预设范围内显示展开按钮，根据用户对展开按钮的触发操作，对聚合的多条问答内容进行显示。可选地，该展开按钮上的文本内容可以为：展开、还有X人想知道等，其中，X包括已聚合的问答内容的数量。
进一步地，在上述任一实施例的基础上，还包括：
确定与所述目标问答内容之间相似度超过预设阈值的问答内容的数量；
根据所述问答内容的数量以及用户对所述目标问答内容关联的关注按钮的触发操作的数量，对所述目标问答内容对应的关注数量进行更新。
在本实施例中，不同的问答内容具有不同的关注数量，为了实现对该关注数量的确定，可以确定与目标问答内容之间相似度超过预设阈值的问答内容的数量，该数量可以表征评论数据中想要获知该问答内容的用户的数量。
进一步地，显示界面上还可以显示关注按钮，用户可以通过对关注按钮的触发，实现对该问答内容的关注。当用户触发关注按钮之后，后续该问答内容存在新增答复数据时，可以通过私信的方式，向用户发送该问答内容的提醒。
具体地，可以根据问答内容的数量以及用户对目标问答内容关联的关注按钮的触发操作的数量，对目标问答内容对应的关注数量进行更新。
在对目标问答内容对应的关注数量进行更新之后，可以根据该关注数量对目标问答内容进行排序操作，将关注数量更高的目标问答内容，也即更多用户想知道的问答内容排在靠前的位置，使得用户快速地获知相关内容。
进一步地，在上述任一实施例的基础上，步骤103之后，还包括：
根据所述问答内容在所述预设对象的关联页面内的互动数量以及所述问答内容在所述目标媒体内容中对应的评论数据的互动数量，对所述问答内容的互动数量进行更新。
在本实施例中，在用户对问答内容进行查看的过程中，还可以对问答内容进行互动操作，其中，该互动操作可以为点赞、转发、收藏等。确定问答内容在预设对象的关联页面内的互动数量以及该问答内容在原评论数据中的互动数量，根据问答内容在预设对象的关联页面内的互动数量以及问答内容在目标媒体内容中对应的评论数据的互动数量，对问答内容的互动数量进行更新。
图4为本公开实施例提供的显示界面示意图，如图4所示，在与预设对象的关联页面41内设置有预设的互动图标42，用户可以通过界面交互的方式对该互动图标42进行触发操作，以实现对互动数量的更新。
图5为本公开实施例提供的又一显示界面示意图，如图5所示，响应于用户对任一问答内容51的触发操作，可以跳转至与问答内容对应的详情页面52中，详情页面52中包括问答内容对应的问题信息53以及至少一个回答信息54，每一回答信息54周围预设区域内设置有与该回答信息54对应的互动图标55，用户可以通过触发该互动图标55实现对回答信息54的互动操作。
可选地，可以根据用户对回答信息的互动操作以及该回答信息对应的评论数据中的互动数量对该回答信息的互动数量进行更新操作。
进一步地，在上述任一实施例的基础上，还包括：
响应于用户对目标媒体内容评论数据的删除操作，对与所述评论数据对应的问答内容进行删除操作。
在本实施例中，用户可以根据实际需求对评论数据进行删除操作。当检测到用户对评论数据进行删除时，可以根据该删除操作，对问答内容进行删除操作。
具体地，若检测到用户对评论数据中的答复数据进行删除，则可以对问答内容中相应的答复数据进行删除操作。若检测到用户对评论数据中的问题数据进行删除，则可以 根据该删除操作删除整条问答内容。
本实施例提供的信息处理方法，通过对问答内容进行聚合显示，进一步地提高用户体验。
图6为本公开实施例四提供的信息处理装置的结构示意图，如图6所示，该信息处理装置包括：获取模块61、提取模块62以及显示模块63。其中，获取模块61，用于获取至少一个目标媒体内容对应的评论数据，其中，所述目标媒体内容为与预设对象存在关联关系的媒体内容，所述评论数据包括文本数据和/或视频数据和/或音频数据；提取模块62，用于对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，其中，所述问答内容包括提问内容和至少一个针对所述提问内容的答复内容；显示模块63，用于将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示。
进一步地，在实施例四的基础上，所述获取模块用于：
获取至少一种互动数据数量超过预设的评论数量阈值和/或播放数量超过预设的播放数量阈值的至少一个目标媒体内容；
获取所述至少一个目标媒体内容的评论数据。
进一步地，在上述任一实施例的基础上，所述目标媒体内容中包括所述预设对象对应的标签，和/或，所述目标媒体内容对应的文本内容中包括预设对象相关联的字段，和/或，所述目标媒体内容对应的评论数据中包括所述预设对象相关联的字段，和/或，所述目标媒体内容对应的图像内容中包括所述预设对象对应的图像。
进一步地，在上述任一实施例的基础上，所述提取模块用于：
获取所述评论数据中与所述预设对象相关的问题数据；
根据预设的至少一个目标主题对所述评论数据中的问题数据进行筛选，获得至少一个问题数据，所述目标主题为所述预设对象对应的特征信息主题；
获取所述问题数据对应的答复数据，判断所述答复数据是否与所述预设的目标主题相关联；若所述判断结果为与所述预设的目标主题相关联，则将所述答复数据确定为所述问题数据对应的目标答复数据；
将所述至少一个问题数据以及与各问题数据对应的至少一个目标答复数据确定为所述至少一个问答内容。
进一步地，在上述任一实施例的基础上，所述提取模块用于：
判断所述答复数据中是否包括预设的目标主题，和/或，判断所述答复数据中是否包括与所述目标主题对应的目标字段，获得判断结果。
进一步地，在上述任一实施例的基础上，所述提取模块用于：
将所述评论数据输入至预设的问答内容提取模型中，获得所述评论数据中与所述预设对象相关的至少一个问答内容；
其中，所述问答内容提取模型为采用样本问答内容数据集对预设的待训练模型训练后获得的，所述样本问答内容数据集中包括多个目标媒体内容对应的评论数据以及各评论数据对应的标注信息，所述标注信息用于表征所述评论数据是否包括问答内容。
进一步地，在上述任一实施例的基础上，所述显示模块用于：
分别计算各问答内容之间的相似度信息；
根据所述相似度信息，将相似度超过预设的相似度阈值的问答内容进行聚合操作，确定目标问答内容；
将所述目标问答内容在与所述预设对象的关联页面进行显示。
进一步地，在上述任一实施例的基础上，还包括：
确定模块，用于确定与所述目标问答内容之间相似度超过预设阈值的问答内容的数量；
更新模块，用于根据所述问答内容的数量以及用户对所述目标问答内容关联的关注按钮的触发操作的数量，对所述目标问答内容对应的关注数量进行更新。
进一步地，在上述任一实施例的基础上，所述装置还包括：
更新模块，还用于根据所述问答内容在所述预设对象的关联页面内的互动数量以及所述问答内容在所述目标媒体内容中对应的评论数据的互动数量，对所述问答内容的互动数量进行更新。
进一步地，在上述任一实施例的基础上，还包括：
删除模块，用于响应于用户对目标媒体内容评论数据的删除操作，对与所述评论数据对应的问答内容进行删除操作。
本公开又一实施例还提供了一种计算机可读存储介质，所述计算机可读存储介质中存储有计算机执行指令，当处理器执行所述计算机执行指令时，实现如上述任一实施例所述的信息处理方法。
本公开又一实施例还提供了一种计算机程序产品，包括计算机程序，所述计算机程序被处理器执行时实现如上述任一实施例所述的信息处理方法。
本实施例提供的设备，可用于执行上述方法实施例的技术方案，其实现原理和技术效果类似，本实施例此处不再赘述。
为了实现上述实施例，本公开实施例还提供了一种电子设备。
本公开又一实施例还提供了一种电子设备，包括：处理器和存储器；
所述存储器存储计算机执行指令；
所述处理器执行所述存储器存储的计算机执行指令，使得所述处理器执行如上述任一实施例所述的信息处理方法。
图7为本公开实施例五提供的电子设备的结构示意图，参考图7，其示出了适于用来实现本公开实施例的电子设备700的结构示意图，该电子设备700可以为终端设备或服务器。其中，终端设备可以包括但不限于诸如移动电话、笔记本电脑、数字广播接收器、个人数字助理(Personal Digital Assistant，简称PDA)、平板电脑(Portable Android Device，简称PAD)、便携式多媒体播放器(Portable Media Player，简称PMP)、车载终端(例如车载导航终端)等等的移动终端以及诸如数字TV、台式计算机等等的固定终端。图7示出的电子设备仅仅是一个示例，不应对本公开实施例的功能和使用范围带来任何限制。
如图7所示，电子设备700可以包括处理装置(例如中央处理器、图形处理器等)701，其可以根据存储在只读存储器(Read Only Memory，简称ROM)702中的程序或者从存储装置708加载到随机访问存储器(Random Access Memory，简称RAM)703中的程序而执行各种适当的动作和处理。在RAM 703中，还存储有电子设备700操作所需的各种程序和数据。处理装置701、ROM 702以及RAM 703通过总线704彼此相连。 输入/输出(Input/Output，简称I/O)接口705也连接至总线704。
通常，以下装置可以连接至I/O接口705：包括例如触摸屏、触摸板、键盘、鼠标、摄像头、麦克风、加速度计、陀螺仪等的输入装置706；包括例如液晶显示器(Liquid Crystal Display，简称LCD)、扬声器、振动器等的输出装置707；包括例如磁带、硬盘等的存储装置708；以及通信装置709。通信装置709可以允许电子设备700与其他设备进行无线或有线通信以交换数据。虽然图7示出了具有各种装置的电子设备700，但是应理解的是，并不要求实施或具备所有示出的装置。可以替代地实施或具备更多或更少的装置。
特别地，根据本公开的实施例，上文参考流程图描述的过程可以被实现为计算机软件程序。例如，本公开的实施例包括一种计算机程序产品，其包括承载在计算机可读介质上的计算机程序，该计算机程序包含用于执行流程图所示的方法的程序代码。在这样的实施例中，该计算机程序可以通过通信装置709从网络上被下载和安装，或者从存储装置708被安装，或者从ROM 702被安装。在该计算机程序被处理装置701执行时，执行本公开实施例的方法中限定的上述功能。
需要说明的是，本公开上述的计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质或者是上述两者的任意组合。计算机可读存储介质例如可以是——但不限于——电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。计算机可读存储介质的更具体的例子可以包括但不限于：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机访问存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(Erasable Programmable Read Only Memory，简称EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(Compact Disk Read Only Memory，简称CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本公开中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。而在本公开中，计算机可读信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读信号介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于：电线、光缆、射频(Radio Frequency，简称RF)等等，或者上述的任意合适的组合。
上述计算机可读介质可以是上述电子设备中所包含的；也可以是单独存在，而未装配入该电子设备中。
上述计算机可读介质承载有一个或者多个程序，当上述一个或者多个程序被该电子设备执行时，使得该电子设备执行上述实施例所示的方法。
可以以一种或多种程序设计语言或其组合来编写用于执行本公开的操作的计算机程序代码，上述程序设计语言包括面向对象的程序设计语言—诸如Java、Smalltalk、C++，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上 执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络——包括局域网(Local Area Network，简称LAN)或广域网(Wide Area Network，简称WAN)—连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。
附图中的流程图和框图，图示了按照本公开各种实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段、或代码的一部分，该模块、程序段、或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意，在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个接连地表示的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或操作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
描述于本公开实施例中所涉及到的单元可以通过软件的方式实现，也可以通过硬件的方式来实现。其中，单元的名称在某种情况下并不构成对该单元本身的限定，例如，第一获取单元还可以被描述为“获取至少两个网际协议地址的单元”。
本文中以上描述的功能可以至少部分地由一个或多个硬件逻辑部件来执行。例如，非限制性地，可以使用的示范类型的硬件逻辑部件包括：现场可编程门阵列(Field Programmable Gate Array，简称FPGA)、专用集成电路(Application Specific Integrated Circuit，简称ASIC)、专用标准产品(Application Specific Standard Parts，简称ASSP)、片上系统(System on Chip，简称SOC)、复杂可编程逻辑设备(Complex Programmable Logic Device，简称CPLD)等等。
在本公开的上下文中，机器可读介质可以是有形的介质，其可以包含或存储以供指令执行系统、装置或设备使用或与指令执行系统、装置或设备结合地使用的程序。机器可读介质可以是机器可读信号介质或机器可读储存介质。机器可读介质可以包括但不限于电子的、磁性的、光学的、电磁的、红外的、或半导体系统、装置或设备，或者上述内容的任何合适组合。机器可读存储介质的更具体示例会包括基于一个或多个线的电气连接、便携式计算机盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦除可编程只读存储器(EPROM或快闪存储器)、光纤、便捷式紧凑盘只读存储器(CD-ROM)、光学储存设备、磁储存设备、或上述内容的任何合适组合。
第一方面，根据本公开的一个或多个实施例，提供了一种信息处理方法，包括：
获取至少一个目标媒体内容对应的评论数据，其中，所述目标媒体内容为与预设对象存在关联关系的媒体内容；
对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，其中，所述问答内容包括提问内容和至少一个针对所述提问内容的答复内容，所述评论数据包括文本数据和/或视频数据和/或音频数据；
将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示。
根据本公开的一个或多个实施例，所述获取至少一个目标媒体内容对应的评论数据，包括：获取至少一种互动数据数量超过预设的评论数量阈值和/或播放数量超过预设的播 放数量阈值的至少一个目标媒体内容；获取所述至少一个目标媒体内容的评论数据。
根据本公开的一个或多个实施例，所述目标媒体内容中包括所述预设对象对应的标签，和/或，所述目标媒体内容对应的文本内容中包括预设对象相关联的字段，和/或，所述目标媒体内容对应的评论数据中包括所述预设对象相关联的字段，和/或，所述目标媒体内容对应的图像内容中包括所述预设对象对应的图像。
根据本公开的一个或多个实施例，所述对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，包括：获取所述评论数据中与所述预设对象相关的问题数据；根据预设的至少一个目标主题对所述评论数据中的问题数据进行筛选，获得至少一个问题数据，所述目标主题为所述预设对象对应的特征信息主题；获取所述问题数据对应的答复数据，判断所述答复数据是否与所述预设的目标主题相关联；若所述判断结果为与所述预设的目标主题相关联，则将所述答复数据确定为所述问题数据对应的目标答复数据；将所述至少一个问题数据以及与各问题数据对应的至少一个目标答复数据确定为所述至少一个问答内容。
根据本公开的一个或多个实施例，所述判断所述答复数据是否与所述预设的目标主题相关联，包括：判断所述答复数据中是否包括预设的目标主题，和/或，判断所述答复数据中是否包括与所述目标主题对应的目标字段，获得判断结果。
根据本公开的一个或多个实施例，所述对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，包括：将所述评论数据输入至预设的问答内容提取模型中，获得所述评论数据中与所述预设对象相关的至少一个问答内容；其中，所述问答内容提取模型为采用样本问答内容数据集对预设的待训练模型训练后获得的，所述样本问答内容数据集中包括多个目标媒体内容对应的评论数据以及各评论数据对应的标注信息，所述标注信息用于表征所述评论数据是否包括问答内容。
根据本公开的一个或多个实施例，所述将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示，包括：分别计算各问答内容之间的相似度信息；根据所述相似度信息，将相似度超过预设的相似度阈值的问答内容进行聚合操作，确定目标问答内容；将所述目标问答内容在与所述预设对象的关联页面进行显示。
根据本公开的一个或多个实施例，还包括：确定与所述目标问答内容之间相似度超过预设阈值的问答内容的数量；根据所述问答内容的数量以及用户对所述目标问答内容关联的关注按钮的触发操作的数量，对所述目标问答内容对应的关注数量进行更新。
根据本公开的一个或多个实施例，所述将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示之后，还包括：根据所述问答内容在所述预设对象的关联页面内的互动数量以及所述问答内容在所述目标媒体内容中对应的评论数据的互动数量，对所述问答内容的互动数量进行更新。
根据本公开的一个或多个实施例，还包括：响应于用户对目标媒体内容评论数据的删除操作，对与所述评论数据对应的问答内容进行删除操作。
第二方面，根据本公开的一个或多个实施例，提供了一种信息处理装置，包括：
获取模块，用于获取至少一个目标媒体内容对应的评论数据，其中，所述目标媒体内容为与预设对象存在关联关系的媒体内容，所述评论数据包括文本数据和/或视频数据和/或音频数据；
提取模块，用于对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，其中，所述问答内容包括提问内容和至少一个针对所述提问内容的答复内容；
显示模块，用于将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示。
根据本公开的一个或多个实施例，所述获取模块用于：获取至少一种互动数据数量超过预设的评论数量阈值和/或播放数量超过预设的播放数量阈值的至少一个目标媒体内容；获取所述至少一个目标媒体内容的评论数据。
根据本公开的一个或多个实施例，所述目标媒体内容中包括所述预设对象对应的标签，和/或，所述目标媒体内容对应的文本内容中包括预设对象相关联的字段，和/或，所述目标媒体内容对应的评论数据中包括所述预设对象相关联的字段，和/或，所述目标媒体内容对应的图像内容中包括所述预设对象对应的图像。
根据本公开的一个或多个实施例，所述提取模块用于：获取所述评论数据中与所述预设对象相关的问题数据；根据预设的至少一个目标主题对所述评论数据中的问题数据进行筛选，获得至少一个问题数据，所述目标主题为所述预设对象对应的特征信息主题；获取所述问题数据对应的答复数据，判断所述答复数据是否与所述预设的目标主题相关联；若所述判断结果为与所述预设的目标主题相关联，则将所述答复数据确定为所述问题数据对应的目标答复数据；将所述至少一个问题数据以及与各问题数据对应的至少一个目标答复数据确定为所述至少一个问答内容。
根据本公开的一个或多个实施例，所述提取模块用于：判断所述答复数据中是否包括预设的目标主题，和/或，判断所述答复数据中是否包括与所述目标主题对应的目标字段，获得判断结果。
根据本公开的一个或多个实施例，所述提取模块用于：将所述评论数据输入至预设的问答内容提取模型中，获得所述评论数据中与所述预设对象相关的至少一个问答内容；其中，所述问答内容提取模型为采用样本问答内容数据集对预设的待训练模型训练后获得的，所述样本问答内容数据集中包括多个目标媒体内容对应的评论数据以及各评论数据对应的标注信息，所述标注信息用于表征所述评论数据是否包括问答内容。
根据本公开的一个或多个实施例，所述显示模块用于：分别计算各问答内容之间的相似度信息；根据所述相似度信息，将相似度超过预设的相似度阈值的问答内容进行聚合操作，确定目标问答内容；将所述目标问答内容在与所述预设对象的关联页面进行显示。
根据本公开的一个或多个实施例，还包括：确定模块，用于确定与所述目标问答内容之间相似度超过预设阈值的问答内容的数量；更新模块，用于根据所述问答内容的数量以及用户对所述目标问答内容关联的关注按钮的触发操作的数量，对所述目标问答内容对应的关注数量进行更新。
根据本公开的一个或多个实施例，所述装置还包括：更新模块，用于根据所述问答内容在所述预设对象的关联页面内的互动数量以及所述问答内容在所述目标媒体内容中对应的评论数据的互动数量，对所述问答内容的互动数量进行更新。
根据本公开的一个或多个实施例，还包括：删除模块，用于响应于用户对目标媒体 内容评论数据的删除操作，对与所述评论数据对应的问答内容进行删除操作。
第三方面，根据本公开的一个或多个实施例，提供了一种电子设备，包括：至少一个处理器和存储器；
所述存储器存储计算机执行指令；
所述至少一个处理器执行所述存储器存储的计算机执行指令，使得所述至少一个处理器执行如上第一方面以及第一方面各种可能的设计所述的信息处理方法。
第四方面，根据本公开的一个或多个实施例，提供了一种计算机可读存储介质，所述计算机可读存储介质中存储有计算机执行指令，当处理器执行所述计算机执行指令时，实现如上第一方面以及第一方面各种可能的设计所述的信息处理方法。
第五方面，根据本公开的一个或多个实施例，提供了一种计算机程序产品，包括计算机程序，所述计算机程序被处理器执行时实现如上第一方面以及第一方面各种可能的设计所述的信息处理方法。
第六方面，根据本公开的一个或多个实施例，提供了一种计算机程序，所述计算机程序被处理器执行时实现如上第一方面以及第一方面各种可能的设计所述的信息处理方法。
以上描述仅为本公开的较佳实施例以及对所运用技术原理的说明。本领域技术人员应当理解，本公开中所涉及的公开范围，并不限于上述技术特征的特定组合而成的技术方案，同时也应涵盖在不脱离上述公开构思的情况下，由上述技术特征或其等同特征进行任意组合而形成的其它技术方案。例如上述特征与本公开中公开的(但不限于)具有类似功能的技术特征进行互相替换而形成的技术方案。
此外，虽然采用特定次序描绘了各操作，但是这不应当理解为要求这些操作以所示出的特定次序或以顺序次序来执行。在一定环境下，多任务和并行处理可能是有利的。同样地，虽然在上面论述中包含了若干具体实现细节，但是这些不应当被解释为对本公开的范围的限制。在单独的实施例的上下文中描述的某些特征还可以组合地实现在单个实施例中。相反地，在单个实施例的上下文中描述的各种特征也可以单独地或以任何合适的子组合的方式实现在多个实施例中。
尽管已经采用特定于结构特征和/或方法逻辑动作的语言描述了本主题，但是应当理解所附权利要求书中所限定的主题未必局限于上面描述的特定特征或动作。相反，上面所描述的特定特征和动作仅仅是实现权利要求书的示例形式。

Claims (15)

  1. 一种信息处理方法，包括：
    获取至少一个目标媒体内容对应的评论数据，其中，所述目标媒体内容为与预设对象存在关联关系的媒体内容，所述评论数据包括文本数据和/或视频数据和/或音频数据；
    对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，其中，所述问答内容包括提问内容和至少一个针对所述提问内容的答复内容；
    将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示。
  2. 根据权利要求1所述的方法，其中，所述获取至少一个目标媒体内容对应的评论数据，包括：
    获取至少一种互动数据数量超过预设的评论数量阈值和/或播放数量超过预设的播放数量阈值的至少一个目标媒体内容；
    获取所述至少一个目标媒体内容的评论数据。
  3. 根据权利要求1所述的方法，其中，所述目标媒体内容中包括所述预设对象对应的标签，和/或，所述目标媒体内容对应的文本内容中包括预设对象相关联的字段，和/或，所述目标媒体内容对应的评论数据中包括所述预设对象相关联的字段，和/或，所述目标媒体内容对应的图像内容中包括所述预设对象对应的图像。
  4. 根据权利要求1-3中任一项所述的方法，其中，所述对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，包括：
    获取所述评论数据中与所述预设对象相关的问题数据；
    根据预设的至少一个目标主题对所述评论数据中的问题数据进行筛选，获得至少一个问题数据，所述目标主题为所述预设对象对应的特征信息主题；
    获取所述问题数据对应的答复数据，判断所述答复数据是否与所述预设的目标主题相关联；若所述判断结果为与所述预设的目标主题相关联，则将所述答复数据确定为所述问题数据对应的目标答复数据；
    将所述至少一个问题数据以及与各问题数据对应的至少一个目标答复数据确定为所述至少一个问答内容。
  5. 根据权利要求4所述的方法，其中，所述判断所述答复数据是否与所述预设的目标主题相关联，包括：
    判断所述答复数据中是否包括预设的目标主题，和/或，判断所述答复数据中是否包括与所述目标主题对应的目标字段，获得判断结果。
  6. 根据权利要求1-3中任一项所述的方法，其中，所述对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，包括：
    将所述评论数据输入至预设的问答内容提取模型中，获得所述评论数据中与所述预设对象相关的至少一个问答内容；
    其中，所述问答内容提取模型为采用样本问答内容数据集对预设的待训练模型训练后获得的，所述样本问答内容数据集中包括多个目标媒体内容对应的评论数据以及各评论数据对应的标注信息，所述标注信息用于表征所述评论数据是否包括问答内容。
  7. 根据权利要求1-6中任一项所述的方法，其中，所述将所述至少一个问答内容在 与所述预设对象的关联页面进行聚合显示，包括：
    分别计算各问答内容之间的相似度信息；
    根据所述相似度信息，将相似度超过预设的相似度阈值的问答内容进行聚合操作，确定目标问答内容；
    将所述目标问答内容在与所述预设对象的关联页面进行显示。
  8. 根据权利要求7所述的方法，其中，还包括：
    确定与所述目标问答内容之间相似度超过预设阈值的问答内容的数量；
    根据所述问答内容的数量以及用户对所述目标问答内容关联的关注按钮的触发操作的数量，对所述目标问答内容对应的关注数量进行更新。
  9. 根据权利要求1-8中任一项所述的方法，其中，所述将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示之后，还包括：
    根据所述问答内容在所述预设对象的关联页面内的互动数量以及所述问答内容在所述目标媒体内容中对应的评论数据的互动数量，对所述问答内容的互动数量进行更新。
  10. 根据权利要求1-9中任一项所述的方法，其中，还包括：
    响应于用户对目标媒体内容评论数据的删除操作，对与所述评论数据对应的问答内容进行删除操作。
  11. 一种信息处理装置，包括：
    获取模块，用于获取至少一个目标媒体内容对应的评论数据，其中，所述目标媒体内容为与预设对象存在关联关系的媒体内容，所述评论数据包括文本数据和/或视频数据和/或音频数据；
    提取模块，用于对所述评论数据进行提取操作，以获取所述评论数据中与所述预设对象相关的至少一个问答内容，其中，所述问答内容包括提问内容和至少一个针对所述提问内容的答复内容；
    显示模块，用于将所述至少一个问答内容在与所述预设对象的关联页面进行聚合显示。
  12. 一种电子设备，包括：处理器和存储器；
    所述存储器存储计算机执行指令；
    所述处理器执行所述存储器存储的计算机执行指令，使得所述处理器执行如权利要求1-10中任一项所述的信息处理方法。
  13. 一种计算机可读存储介质，所述计算机可读存储介质中存储有计算机执行指令，当处理器执行所述计算机执行指令时，实现如权利要求1-10中任一项所述的信息处理方法。
  14. 一种计算机程序产品，包括计算机程序，所述计算机程序被处理器执行时实现如权利要求1-10中任一项所述的信息处理方法。
  15. 一种计算机程序，所述计算机程序被处理器执行时实现如权利要求1-10中任一项所述的信息处理方法。
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